Title :
Image fusion based on modulation method with resolution degradation and interpolation
Author :
Jiang, Wanshou ; Yan, Yuan ; Zhang, Feng ; Wang, Huixian
Author_Institution :
Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, China
Abstract :
This paper aims at developing a fusion method based on SVR (Synthetic Variable Ratio) to preserve spatial details and spectral characteristics in image fusion processing, coupling several experiments are conducted for different kinds of sensors (ETM+, QuickBird), and fusion performance evaluation results show that this method is not related to sensor type, spectral region of images and number of multispectral bands, and is more effective than other traditional fusion method in several aspects.
Keywords :
image fusion; image resolution; interpolation; spectral analysis; ETM+ sensor; QuickBird sensor; image fusion processing; interpolation; modulation method; resolution degradation; spectral characteristics; synthetic variable ratio; Image color analysis; Image fusion; Principal component analysis; Remote sensing; Satellites; Spatial resolution; HIS; PCA; SVR; image fusion; remote sensing;
Conference_Titel :
Geoinformatics, 2011 19th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-849-5
DOI :
10.1109/GeoInformatics.2011.5980849
